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Strong bank brand, mid-level Data Scientist role in Hyderabad with broad ML/GenAI and production requirements.
Prefers banking analytics experience but core ML, GenAI, and production skills are transferable across industries.
Explicit 6–9.5 years requirement plus mandatory ML/GenAI, production and PySpark/Python skills.
Develop, deploy, and productionize predictive and hyper-personalization machine learning models to optimize customer management and revenue.
Consult with business stakeholders to understand complex challenges and deliver data-driven solutions end-to-end, from problem definition to implementation.
Continuously improve machine learning development and deployment processes, while communicating technical outcomes clearly to non-technical stakeholders.
6 to 9.5 years of relevant experience in data science or analytics roles.
Strong proficiency in Python, PySpark, SQL, and practical experience with machine learning methods such as Decision Trees, Random Forests, Gradient Boosting for classification and regression.
Experience with Generative AI frameworks (e.g., langchain, langflow, Google ADK) and prompt engineering to enhance data science workflows.
Location requirement: Hyderabad - DTI Skyview SEZ.
Experienced in end-to-end delivery of data science solutions in production environments, demonstrating accountability and ownership.
Skilled at translating complex technical results into business-friendly communication for diverse stakeholders.
Capable of leveraging advanced machine learning and generative AI techniques to innovate and identify new opportunities in financial services or similar domains.